Real-Time Data Capture and Management Evaluation and Performance Measures : Evaluation Framework
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2011-09-01
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- Intelligent transportation systems
- Intelligent transportation systems programs
- Evaluation and assessment
- Evaluation
- Performance measurement
- Real time data processing
- Evaluation
- Performance measures
- Evaluation and performance measures
- Real-time data capture and management
- DCM evaluation and performance measures
- Evaluation framework
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Abstract:Through connected vehicle research, the U.S. DOT Intelligent Transportation Systems Joint Program Office (ITS JPO) ; is leading an effort to assess the potential for systematic and dynamic data capture from vehicles, travelers and the ; transportation system infrastructure to enhance current operational practices and transform future surface ; transportation systems management. The crosscutting Real-Time Data Capture and Management (DCM) Program is ; the vehicle for this important effort. ; The purpose of the Real-Time Data Capture and Management Evaluation and Performance Measures project is ; twofold: 1) To identify a set of performance measures that can be used to evaluate data sets and data environments ; that are developed during Phase II (Research) of the DCM program; and 2) To develop an evaluation framework to ; quantify the benefits of the data sets and data environments developed through the program. This project will support ; the evaluation of quantitative and qualitative benefits from research conducted as part of Phase II the DCM Program. ; The measures and framework may be refined in Phase II (Research) and further tested in Phase III (Implementation) of ; the DCM Program. ; The Evaluation Framework is comprised of the following steps: ; Step 1. Establish the scope and timing for the evaluation. ; Step 2. Develop a logic model for the evaluation. ; Step 3. Identify evaluation questions to be answered as part of the evaluation. ; Step 4. Select performance measures. ; Step 5. Establish data collection parameters and collect data. ; Step 6. Calculate results for performance measures. ; Step 7. Set data quality targets. ; Step 8. Assess benefit/cost. ; Step 9. Summarize evaluation results. ; Step 10. Complete the feedback cycle.
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Main Document Checksum:urn:sha-512:aa4ec8ecfffd473fb55881213d9b784a991f56247b4eb54d950da59fd66e6a6b0a1bf08958ea961d0fc0145f031dc8be1dd3de7c2603b1a970893f4e8f7c8f1c